{"id":"W7133282362","doi":"","title":"Recovery potential assessment for the North Atlantic designatable unit of Shortfin Mako Shark (Isurus oxyrinchus)","year":2022,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Catch per unit effort; Endangered species; Population; Pelagic zone; Fishing; Threatened species","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001431077,0.0003201405,0.0001227284,0.001270203,0.0004129678,0.0005533455,0.0004915363,0.0003541893,0.002277451],"category_scores_gemma":[0.002085327,0.00009698732,0.0004137004,0.0004475407,0.0001873422,0.0005476051,0.0009478736,0.0003101169,0.0003628422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001338468,"about_ca_system_score_gemma":0.001411841,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05991238,"about_ca_topic_score_gemma":0.1312892,"domain_scores_codex":[0.9992655,0.00009705174,0.00003886802,0.00005831248,0.0004260918,0.0001141942],"domain_scores_gemma":[0.9988012,0.0001472609,0.0003372889,0.00003317127,0.0005622917,0.0001186428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008813794,0.0002343782,0.6586256,0.0004072069,0.0001846895,0.001227677,0.000710189,0.04930431,0.009161043,0.003494669,0.02111022,0.2546587],"study_design_scores_gemma":[0.00006530309,0.001987887,0.8375526,0.0005379386,0.0002979805,0.00101731,0.003952397,0.09293835,0.005488329,0.003367509,0.0526732,0.0001210482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9432798,0.0008674296,0.007863228,0.001680288,0.00005161633,0.0002482013,0.004261965,0.0001581233,0.04158933],"genre_scores_gemma":[0.9876309,0.0005223146,0.002791506,0.0001833603,0.00001231221,0.0000870111,0.003127543,0.00001359471,0.0056315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9400876,"threshold_uncertainty_score":0.1191273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358365357132392,"score_gpt":0.2468497131763725,"score_spread":0.2332660596050486,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}